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09/19/2023
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
To solve complex tasks, large language models (LLMs) often require multi...
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07/21/2023
Making Pre-trained Language Models both Task-solvers and Self-calibrators
Pre-trained language models (PLMs) serve as backbones for various real-w...
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05/17/2023
LeTI: Learning to Generate from Textual Interactions
Finetuning pre-trained language models (LMs) enhances the models' capabi...
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04/10/2023
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning
Electrocardiogram (ECG) monitoring is one of the most powerful technique...
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12/16/2022
POTATO: The Portable Text Annotation Tool
We present POTATO, the Portable text annotation tool, a free, fully open...
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10/23/2022
Code4Struct: Code Generation for Few-Shot Structured Prediction from Natural Language
Large Language Model (LLM) trained on the mixture of text and code has d...
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09/19/2022
A Causal Intervention Scheme for Semantic Segmentation of Quasi-periodic Cardiovascular Signals
Precise segmentation is a vital first step to analyze semantic informati...
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09/24/2021
An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog
Online conversations include more than just text. Increasingly, image-ba...
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10/20/2020
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters
Distributed training techniques have been widely deployed in large-scale...
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09/25/2020
Sequence-to-Sequence Load Disaggregation Using Multi-Scale Residual Neural Network
With the increased demand on economy and efficiency of measurement techn...
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05/09/2020
